Showing results 1 to 7 of approximately 7.(refine search)
First Impressions Can Be Misleading: Revisions to House Price Changes
An assiduous follower of the national house price charts that the New York Fed maintains on its web page may have noticed that we appear to be rewriting history as we update the charts every month. For example, last month we reported that the median twelve-month house price change across all counties for December 2012 was 3.68 percent. However, this month, we indicate that this same median change for December 2012 was instead 3.45 percent. Why the change? Was the earlier reported number a mistake that we simply corrected this month? If not, what explains the revision to the initial report?
What Macroeconomic Conditions Lead Financial Crises?
Research has suggested that a rapid pace of nonfinancial borrowing reliably precedes financial crises, placing the pace of debt growth at the center of frameworks for the deployment of macroprudential policies. I reconsider the role of asset-prices and current account deficits as leading indicators of financial crises. Run-ups in equity and house prices and a widening of the current account deficit have substantially larger (and more statistically-significant) effects than debt growth on the probability of a financial crisis in standard crisis-prediction models. The analysis highlights the ...
Measuring Mortgage Credit Availability : A Frontier Estimation Approach
We construct a new measure of mortgage credit availability that describes the maximum amount obtainable by a borrower of given characteristics. We estimate this "loan frontier" using mortgage originations data from 2001 to 2014 and show that it reflects a binding borrowing constraint. Our estimates reveal that the expansion of mortgage credit during the housing boom was substantial for all borrowers, not only for low-score or low-income borrowers. The contraction was most pronounced for low-score borrowers. Using variation in the frontier across metropolitan areas over time, we show that ...
Do Mortgage Subsidies Help or Hurt Borrowers?
Mortgage subsidies affect homeownership costs by reducing effective mortgage rates and increasing house prices. I show analytically the role of mortgage subsidies in determining house price changes, economic incidence, and efficiency costs using a theoretical framework for applied welfare analysis. I derive simple expressions for these effects, as functions of reduced-form sufficient statistics, which I use to measure the effects from eliminating mortgage deductions. My main results characterize the distributional impact of mortgage subsidies among buyers and owners and how house price ...
Making Sense of Increased Synchronization in Global House Prices
Evidence indicates that house prices have become somewhat more synchronized during this century, likely reflecting more correlated movements in long-term interest rates and macroeconomic cycles that are related to trends in globalization and international portfolio diversification. Nevertheless, the trend toward increased synchronization has not been continuous, reflecting that house prices depend on other fundamentals, which are not uniform across countries or cities. Theory and limited econometric evidence indicate that the more common are fundamentals, the more in-synch house price cycles ...
Can Learning Explain Boom-Bust Cycles In Asset Prices? An Application to the US Housing Boom
Explaining asset price booms poses a difficult question for researchers in macroeconomics: how can large and persistent price growth be explained in the absence large and persistent variation in fundamentals? This paper argues that boom-bust behavior in asset prices can be explained by a model in which boundedly rational agents learn the process for prices. The key feature of the model is that learning operates in both the demand for assets and the supply of credit. Interactions between agents on either side of the market create complementarities in their respective beliefs, providing an ...
Housing Wealth Effects: The Long View
We provide new time-varying estimates of the housing wealth effect back to the 1980s. We use three identification strategies: OLS with a rich set of controls, the Saiz housing supply elasticity instrument, and a new instrument that exploits systematic differences in city-level exposure to regional house price cycles. All three identification strategies indicate that housing wealth elasticities were if anything slightly smaller in the 2000s than in earlier time periods. This implies that the important role housing played in the boom and bust of the 2000s was due to larger price movements ...